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Nonruminant Nutrition and Feed Processing
Prediction equations for digestible and metabolizable energy concentrations in feed ingredients and diets for pigs based on chemical composition: Jung Yeol Sung, Beob Gyun Kim; Anim Biosci. 2021;34(2):306-311. Published online July 14, 2020; DOI: https://doi.org/10.5713/ajas.20.0293
Cited By 18; Full text PubReader ePub PDF


Prediction of net energy values in expeller-pressed and solvent-extracted rapeseed meal for growing pigs: Zhongchao Li, Zhiqian Lyu, Hu Liu, Dewen Liu, Neil Jaworski, Yakui Li, Changhua Lai; Anim Biosci. 2021;34(1):109-118. Published online April 12, 2020; DOI: https://doi.org/10.5713/ajas.19.0962
Cited By 2; Full text PubReader ePub PDF Supplementary Material

Animal Breeding and Genetics
Assessment of genomic prediction accuracy using different selection and evaluation approaches in a simulated Korean beef cattle population: Chiemela Peter Nwogwugwu, Yeongkuk Kim, Hyunji Choi, Jun Heon Lee, Seung-Hwan Lee; Asian-Australas J Anim Sci. 2020;33(12):1912-1921. Published online June 24, 2020; DOI: https://doi.org/10.5713/ajas.20.0217
Cited By 6; Full text PubReader ePub PDF

Nonruminant Nutrition and Feed Processing
Modeling net energy requirements of 2 to 3-week-old Cherry Valley ducks: Ting Yang, Lexiao Yu, Min Wen, Hua Zhao, Xiaoling Chen, Guangmang Liu, Gang Tian, Jingyi Cai, Gang Jia; Asian-Australas J Anim Sci. 2020;33(10):1624-1632. Published online November 12, 2019; DOI: https://doi.org/10.5713/ajas.19.0561
Cited By 1; Full text PubReader ePub PDF

Animal Breeding and Genetics
Genomic selection through single-step genomic best linear unbiased prediction improves the accuracy of evaluation in Hanwoo cattle: Mi Na Park, Mahboob Alam, Sidong Kim, Byoungho Park, Seung Hwan Lee, Sung Soo Lee; Asian-Australas J Anim Sci. 2020;33(10):1544-1557. Published online November 12, 2019; DOI: https://doi.org/10.5713/ajas.18.0936
Cited By 12; Full text PubReader ePub PDF

Nonruminant Nutrition and Feed Processing
Neutral detergent fiber rather than other dietary fiber types as an independent variable increases the accuracy of prediction equation for digestible energy in feeds for growing pigs: Hyunjun Choi, Jung Yeol Sung, Beob Gyun Kim; Asian-Australas J Anim Sci. 2020;33(4):615-622. Published online July 1, 2019; DOI: https://doi.org/10.5713/ajas.19.0103
Cited By 28; Full text PubReader ePub PDF

Animal Breeding and Genetics
Application of single-step genomic evaluation using social genetic effect model for growth in pig: Joon Ki Hong, Young Sin Kim, Kyu Ho Cho, Deuk Hwan Lee, Ye Jin Min, Eun Seok Cho; Asian-Australas J Anim Sci. 2019;32(12):1836-1843. Published online August 26, 2019; DOI: https://doi.org/10.5713/ajas.19.0182
Cited By 2; Full text PubReader ePub PDF


Comparison of genomic predictions for carcass and reproduction traits in Berkshire, Duroc and Yorkshire populations in Korea: Asif Iqbal, Tae-Jeong Choi, You-Sam Kim, Yun-Mi Lee, M. Zahangir Alam, Jong-Hyun Jung, Ho-Sung Choe, Jong-Joo Kim; Asian-Australas J Anim Sci. 2019;32(11):1657-1663. Published online July 1, 2019; DOI: https://doi.org/10.5713/ajas.18.0672
Cited By 4; Full text PubReader ePub PDF

Ruminant Nutrition and Forage Utilization
Prediction of methane emission from sheep based on data measured in vivo from open-circuit respiratory studies: Tao Ma, Kaidong Deng, Qiyu Diao; Asian-Australas J Anim Sci. 2019;32(9):1389-1396. Published online February 7, 2019; DOI: https://doi.org/10.5713/ajas.18.0828
Cited By 9; Full text PubReader ePub PDF

Animal Breeding and Genetics
Comparison of genome-wide association and genomic prediction methods for milk production traits in Korean Holstein cattle: SeokHyun Lee, ChangGwon Dang, YunHo Choy, ChangHee Do, Kwanghyun Cho, Jongjoo Kim, Yousam Kim, Jungjae Lee; Asian-Australas J Anim Sci. 2019;32(7):913-921. Published online February 9, 2019; DOI: https://doi.org/10.5713/ajas.18.0847
Cited By 6; Full text PubReader ePub PDF

Nonruminant Nutrition and Feed Processing
Determination and prediction of the digestible and metabolizable energy contents of corn germ meal in growing pigs: Meng Shi, Zhaoyu Liu, Hongliang Wang, Chuanxin Shi, Ling Liu, Junjun Wang, Defa Li, Shuai Zhang; Asian-Australas J Anim Sci. 2019;32(3):405-412. Published online May 24, 2018; DOI: https://doi.org/10.5713/ajas.17.0891
Cited By 14; Full text PubReader ePub PDF

Animal Breeding and Genetics
The use of data mining methods for dystocia detection in Polish Holstein-Friesian Black-and-White cattle: Daniel Zaborski, Witold S. Proskura, Wilhelm Grzesiak; Asian-Australas J Anim Sci. 2018;31(11):1700-1713. Published online April 12, 2018; DOI: https://doi.org/10.5713/ajas.17.0780
Cited By 5; Full text PubReader ePub PDF Supplementary Material

Animal Products
Application of AutoFom III equipment for prediction of primal and commercial cut weight of Korean pig carcasses: Jung Seok Choi, Ki Mun Kwon, Young Kyu Lee, Jang Uk Joeng, Kyung Ok Lee, Sang Keun Jin, Yang Il Choi, Jae Joon Lee; Asian-Australas J Anim Sci. 2018;31(10):1670-1676. Published online July 26, 2018; DOI: https://doi.org/10.5713/ajas.18.0240
Cited By 23; Full text PubReader ePub PDF

Nonruminant Nutrition and Feed Processing
Oligosaccharides are a key factor in prediction of amino acid digestibility in soybean meal of different origins when fed to growing pigs: Zhongchao Li, Qiuyun Wang, Fei Xie, Dewen Liu, Yakui Li, Zhiqian Lyu, Changhua Lai; Asian-Australas J Anim Sci. 2017;30(12):1724-1732. Published online April 21, 2017; DOI: https://doi.org/10.5713/ajas.17.0086
Cited By 3; Full text PubReader ePub PDF


Determination and prediction of digestible and metabolizable energy concentrations in byproduct feed ingredients fed to growing pigs: Ah Reum Son, Chan Sol Park, Beob Gyun Kim; Asian-Australas J Anim Sci. 2017;30(4):546-553. Published online November 17, 2016; DOI: https://doi.org/10.5713/ajas.16.0607
Cited By 27; Full text PubReader ePub PDF

ANIMAL
BIOSCIENCE

Impact Factor: 2.694(Q₂)
SJR: 0.665
(Q₁ in Animal Sci
/ Food Sci / Vet Sci)
Print ISSN: 2765-0189
Online ISSN: 2765-0235

Editorial Office: Asian-Australasian Association of Animal Production Societies(AAAP)
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